Articles
Carbon dioxide and ethylene production modeling of apricot at three maturity stages
Article number
1382_5
Pages
33 – 40
Language
English
Abstract
Proper description and prediction of ethylene and carbon dioxide production is important for postharvest technology of fruit and vegetables.
In this study, the ethylene production and respiration of apricot were measured at room temperature (20°C). Three maturity stages of apricot including green, yellow and orange were investigated each day for 25 d.
Respiration and ethylene production have the same kinetics with exponential increase until the peak value, followed by decreasing trend.
Gaussian and Cauchy distribution functions were applied with nonlinear least squares method.
Respiration was successfully described by Gaussian function with 23.75, 41.91 and 143.98 μL kg‑1 h‑1 accuracy for mature-green, yellow and light orange maturity groups, while Cauchy function obtained 25.70, 41.63 and 135.07 μL kg‑1 h‑1, respectively.
Besides the low prediction error, peak time was reasonably estimated.
Ethylene readings did not reach peak value during the experiment.
In the case of ethylene production, Gaussian model was fitted with 3.14, 3.16 and 2.23 mL kg‑1 h‑1 accuracy to mature-green, yellow and light orange maturity data, while Cauchy model resulted 3.03, 3.45 and 2.50 mL kg‑1 h‑1, respectively.
Prediction error increased with fruit ripeness and increasing variability of collected data.
Cauchy model performed better for ethylene production in terms of peak time prediction, and its scale parameter (coefficient of kinetics) well correlated with fruit ripeness stage.
According to achieved results, Cauchy distribution function can be used to predict fruit respiration and ethylene production.
Function coefficients agreed with expectations such as peak time and kinetics.
In this study, the ethylene production and respiration of apricot were measured at room temperature (20°C). Three maturity stages of apricot including green, yellow and orange were investigated each day for 25 d.
Respiration and ethylene production have the same kinetics with exponential increase until the peak value, followed by decreasing trend.
Gaussian and Cauchy distribution functions were applied with nonlinear least squares method.
Respiration was successfully described by Gaussian function with 23.75, 41.91 and 143.98 μL kg‑1 h‑1 accuracy for mature-green, yellow and light orange maturity groups, while Cauchy function obtained 25.70, 41.63 and 135.07 μL kg‑1 h‑1, respectively.
Besides the low prediction error, peak time was reasonably estimated.
Ethylene readings did not reach peak value during the experiment.
In the case of ethylene production, Gaussian model was fitted with 3.14, 3.16 and 2.23 mL kg‑1 h‑1 accuracy to mature-green, yellow and light orange maturity data, while Cauchy model resulted 3.03, 3.45 and 2.50 mL kg‑1 h‑1, respectively.
Prediction error increased with fruit ripeness and increasing variability of collected data.
Cauchy model performed better for ethylene production in terms of peak time prediction, and its scale parameter (coefficient of kinetics) well correlated with fruit ripeness stage.
According to achieved results, Cauchy distribution function can be used to predict fruit respiration and ethylene production.
Function coefficients agreed with expectations such as peak time and kinetics.
Authors
N.T.T. Ha, T.T. Pham, L.P.L. Nguyen, H.X. Mac, M. Gob, Z. Sasvar, G. Szabo, Zs. Horváth-Mezofi, T. Zsom, G. Hitka
Keywords
Gaussian, Cauchy, distribution function, nonlinear curve fitting, Prunus armeniaca L
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